AbGaze: Attentive Geometric Representation Learning for End-to-End Antibody Design

arXiv:2609.35296 · cs.AI · Submitted 2026-09-28 · Read on arXiv

cs.AI

Submitted: 2026-09-28

Updated: 2026-09-28

Code: https://github.com/bjornwallner/DockQ

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Representation Learning — 1× in this paper · explained in 2 episodes

Sources

• Antibody-Antigen Docking and Design via Hierarchical Equivariant Refinement
• Iterative Refinement Graph Neural Network for Antibody Sequence-Structure Co-design
• Learning from Protein Structure with Geometric Vector Perceptrons
• Adam: A Method for Stochastic Optimization
• Conditional Antibody Design as 3D Equivariant Graph Translation

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